\begin{table}[H]
     \caption{Predictions Affect Support for Reforms}
     \label{tab:redform} 
     \begin{center}
     \begin{adjustbox}{max width=\textwidth}
     \begin{tabular}{l*{3}{c}}
     \toprule %%%%%%%%%%%%%%%%%%%%%%%%%
     & \multicolumn{1}{c}{Minimum Wage}	  & \multicolumn{1}{c}{Corporate Tax} & \multicolumn{1}{c}{Trans-Pacific Partnership}  \\
     \midrule %%%%%%%%%%%%%%%%%%%%%%%%% 
Prediction center  &  -0.02   &  0.06 $^{***}$  &  0.08 $^{***}$  \\ 
  & (0.02) & (0.02) & (0.01) \\[.25cm] 
 Partisan sender  &  0.02   &  -0.01   &  0.10   \\ 
  & (0.08) & (0.09) & (0.08) \\[.25cm] 
 Prediction spread  &  0.00   &  -0.00   &  0.09 $^{*}$  \\ 
  & (0.05) & (0.05) & (0.04) \\[.25cm] 
 Prediction center $\times$ partisan  &  0.00   &  -0.02   &  0.05 $^{**}$  \\ 
  & (0.02) & (0.02) & (0.02) \\[.25cm] 
 Prediction spread $\times$ partisan  &  -0.05   &  0.05   &  -0.11   \\ 
  & (0.07) & (0.07) & (0.06) \\[.25cm] 
 \midrule Center + Center $\times$ Partisan = 0 (\emph{p}) &  0.21  &  0.02  &  0.00  \\ 
 Spread + Spread $\times$ Partisan = 0 (\emph{p}) &  0.33  &  0.32  &  0.63  \\ 
 \midrule Observations &  5434  &  5436  &  5435  \\ 
 \bottomrule %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
    \end{tabular}
    \end{adjustbox}
	\caption*{\footnotesize{\textbf{Note:} All models are estimated using least squares. Robust standard errors in parentheses. Higher values imply stronger support for the policy.  Rows six and seven show p-values from two F-tests of the marginal effect of \emph{prediction center} and \emph{prediction spread} when partisans are senders. \\\hspace{\textwidth}
$^* p <0.05, ^{**} p<0.01, ^{***} p<0.001$}}
    \label{tab_reducedform}
    \end{center}
    \end{table}